from sklearn_benchmarks.reporting.hp_match import HPMatchReporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = HPMatchReporting(against_lib="sklearnex", config="config.yml")
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time sklearnex. For instance, a speedup of 2 means that sklearnex is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | NaN | 7.192 | 0.0 | -1 | 1 | NaN | 0.046 | 0.002 | 0.243 | 0.243 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | NaN | 7.250 | 0.0 | -1 | 5 | NaN | 0.048 | 0.001 | 0.231 | 0.231 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.001 | NaN | 6.850 | 0.0 | 1 | 100 | NaN | 0.046 | 0.001 | 0.254 | 0.254 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.000 | NaN | 6.917 | 0.0 | -1 | 100 | NaN | 0.048 | 0.001 | 0.241 | 0.241 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | NaN | 6.992 | 0.0 | 1 | 5 | NaN | 0.047 | 0.001 | 0.242 | 0.242 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.000 | NaN | 6.931 | 0.0 | 1 | 1 | NaN | 0.048 | 0.000 | 0.238 | 0.238 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | NaN | 0.357 | 0.0 | -1 | 1 | NaN | 0.009 | 0.000 | 0.496 | 0.496 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | NaN | 0.336 | 0.0 | -1 | 5 | NaN | 0.009 | 0.000 | 0.530 | 0.530 | See | See |
| 24 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | NaN | 0.355 | 0.0 | 1 | 100 | NaN | 0.009 | 0.000 | 0.486 | 0.487 | See | See |
| 27 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | NaN | 0.334 | 0.0 | -1 | 100 | NaN | 0.009 | 0.000 | 0.508 | 0.508 | See | See |
| 30 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | NaN | 0.352 | 0.0 | 1 | 5 | NaN | 0.008 | 0.000 | 0.549 | 0.550 | See | See |
| 33 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | NaN | 0.320 | 0.0 | 1 | 1 | NaN | 0.009 | 0.000 | 0.572 | 0.572 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.888 | 0.094 | NaN | 0.000 | 0.002 | -1 | 1 | 0.663 | 0.182 | 0.013 | 10.389 | 10.415 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.022 | 0.002 | NaN | 0.000 | 0.022 | -1 | 1 | 1.000 | 0.008 | 0.000 | 2.909 | 2.910 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.782 | 0.048 | NaN | 0.000 | 0.003 | -1 | 5 | 0.757 | 0.181 | 0.003 | 15.378 | 15.380 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.003 | NaN | 0.000 | 0.024 | -1 | 5 | 1.000 | 0.008 | 0.000 | 3.059 | 3.060 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.107 | 0.028 | NaN | 0.000 | 0.002 | 1 | 100 | 0.882 | 0.232 | 0.004 | 9.077 | 9.079 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.021 | 0.000 | NaN | 0.000 | 0.021 | 1 | 100 | 1.000 | 0.008 | 0.000 | 2.618 | 2.619 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.857 | 0.037 | NaN | 0.000 | 0.003 | -1 | 100 | 0.882 | 0.229 | 0.006 | 12.474 | 12.478 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.002 | NaN | 0.000 | 0.024 | -1 | 100 | 1.000 | 0.008 | 0.001 | 2.870 | 2.885 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.121 | 0.049 | NaN | 0.000 | 0.002 | 1 | 5 | 0.757 | 0.188 | 0.003 | 11.279 | 11.280 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.021 | 0.000 | NaN | 0.000 | 0.021 | 1 | 5 | 1.000 | 0.008 | 0.000 | 2.628 | 2.629 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.156 | 0.013 | NaN | 0.001 | 0.001 | 1 | 1 | 0.663 | 0.187 | 0.005 | 6.178 | 6.181 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.019 | 0.000 | NaN | 0.000 | 0.019 | 1 | 1 | 1.000 | 0.008 | 0.000 | 2.308 | 2.308 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.722 | 0.026 | NaN | 0.000 | 0.002 | -1 | 1 | 0.896 | 0.029 | 0.001 | 59.096 | 59.167 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.004 | NaN | 0.000 | 0.006 | -1 | 1 | 1.000 | 0.001 | 0.000 | 8.614 | 8.669 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.633 | 0.032 | NaN | 0.000 | 0.003 | -1 | 5 | 0.922 | 0.030 | 0.001 | 87.236 | 87.254 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.002 | NaN | 0.000 | 0.006 | -1 | 5 | 1.000 | 0.001 | 0.000 | 8.152 | 8.178 | See | See |
| 25 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.999 | 0.038 | NaN | 0.000 | 0.002 | 1 | 100 | 0.929 | 0.067 | 0.002 | 29.841 | 29.860 | See | See |
| 26 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.003 | 0.000 | NaN | 0.000 | 0.003 | 1 | 100 | 1.000 | 0.001 | 0.000 | 3.741 | 3.759 | See | See |
| 28 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.639 | 0.038 | NaN | 0.000 | 0.003 | -1 | 100 | 0.929 | 0.065 | 0.002 | 40.903 | 40.928 | See | See |
| 29 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.007 | 0.004 | NaN | 0.000 | 0.007 | -1 | 100 | 1.000 | 0.001 | 0.000 | 9.234 | 9.342 | See | See |
| 31 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.007 | 0.029 | NaN | 0.000 | 0.002 | 1 | 5 | 0.922 | 0.028 | 0.002 | 70.443 | 70.542 | See | See |
| 32 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.003 | 0.000 | NaN | 0.000 | 0.003 | 1 | 5 | 1.000 | 0.001 | 0.000 | 4.211 | 4.259 | See | See |
| 34 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.036 | 0.007 | NaN | 0.000 | 0.001 | 1 | 1 | 0.896 | 0.030 | 0.001 | 34.502 | 34.507 | See | See |
| 35 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | 1 | 1 | 1.000 | 0.001 | 0.000 | 2.343 | 2.348 | See | See |
KNeighborsClassifier_kd_tree¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 2.885 | 0.091 | NaN | 0.028 | 0.0 | -1 | 1 | NaN | 0.747 | 0.030 | 3.864 | 3.867 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.484 | 0.055 | NaN | 0.023 | 0.0 | -1 | 5 | NaN | 0.742 | 0.012 | 4.692 | 4.693 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.486 | 0.043 | NaN | 0.023 | 0.0 | 1 | 100 | NaN | 0.696 | 0.012 | 5.011 | 5.012 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.515 | 0.098 | NaN | 0.023 | 0.0 | -1 | 100 | NaN | 0.712 | 0.019 | 4.937 | 4.938 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.447 | 0.071 | NaN | 0.023 | 0.0 | 1 | 5 | NaN | 0.695 | 0.017 | 4.961 | 4.963 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.508 | 0.065 | NaN | 0.023 | 0.0 | 1 | 1 | NaN | 0.710 | 0.008 | 4.940 | 4.940 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.001 | NaN | 0.019 | 0.0 | -1 | 1 | NaN | 0.004 | 0.003 | 0.200 | 0.254 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | NaN | 0.030 | 0.0 | -1 | 5 | NaN | 0.002 | 0.002 | 0.218 | 0.278 | See | See |
| 24 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | NaN | 0.028 | 0.0 | 1 | 100 | NaN | 0.001 | 0.000 | 0.542 | 0.596 | See | See |
| 27 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | NaN | 0.031 | 0.0 | -1 | 100 | NaN | 0.001 | 0.000 | 0.541 | 0.561 | See | See |
| 30 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | NaN | 0.029 | 0.0 | 1 | 5 | NaN | 0.001 | 0.000 | 0.647 | 0.651 | See | See |
| 33 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | NaN | 0.031 | 0.0 | 1 | 1 | NaN | 0.001 | 0.000 | 0.580 | 0.581 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.826 | 1.023 | NaN | 0.000 | 0.001 | -1 | 1 | 0.929 | 0.105 | 0.003 | 7.852 | 7.856 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | -1 | 1 | 1.000 | 0.000 | 0.000 | 9.380 | 9.610 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.000 | 0.348 | NaN | 0.000 | 0.001 | -1 | 5 | 0.946 | 0.185 | 0.004 | 5.416 | 5.417 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | -1 | 5 | 1.000 | 0.000 | 0.000 | 8.083 | 8.444 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 5.175 | 0.523 | NaN | 0.000 | 0.005 | 1 | 100 | 0.951 | 0.558 | 0.019 | 9.274 | 9.279 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | 1 | 100 | 1.000 | 0.001 | 0.000 | 4.152 | 4.292 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 2.791 | 0.325 | NaN | 0.000 | 0.003 | -1 | 100 | 0.951 | 0.536 | 0.009 | 5.204 | 5.204 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | NaN | 0.000 | 0.005 | -1 | 100 | 1.000 | 0.001 | 0.000 | 6.747 | 6.995 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.601 | 0.394 | NaN | 0.000 | 0.002 | 1 | 5 | 0.946 | 0.184 | 0.002 | 8.689 | 8.689 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | 1 | 5 | 1.000 | 0.000 | 0.000 | 3.742 | 3.861 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.909 | 0.364 | NaN | 0.000 | 0.001 | 1 | 1 | 0.929 | 0.098 | 0.002 | 9.299 | 9.300 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 1 | 1.000 | 0.000 | 0.000 | 3.537 | 3.691 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.026 | 0.016 | NaN | 0.001 | 0.000 | -1 | 1 | 0.891 | 0.000 | 0.000 | 60.602 | 62.024 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | -1 | 1 | 1.000 | 0.000 | 0.000 | 22.506 | 22.941 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.024 | 0.002 | NaN | 0.001 | 0.000 | -1 | 5 | 0.911 | 0.001 | 0.000 | 35.781 | 36.036 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.001 | NaN | 0.000 | 0.002 | -1 | 5 | 1.000 | 0.000 | 0.000 | 23.445 | 24.096 | See | See |
| 25 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.036 | 0.009 | NaN | 0.000 | 0.000 | 1 | 100 | 0.894 | 0.005 | 0.000 | 7.692 | 7.708 | See | See |
| 26 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 100 | 1.000 | 0.000 | 0.000 | 5.461 | 5.746 | See | See |
| 28 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.041 | 0.005 | NaN | 0.000 | 0.000 | -1 | 100 | 0.894 | 0.006 | 0.002 | 7.147 | 7.491 | See | See |
| 29 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | -1 | 100 | 1.000 | 0.000 | 0.000 | 21.833 | 22.558 | See | See |
| 31 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.019 | 0.001 | NaN | 0.001 | 0.000 | 1 | 5 | 0.911 | 0.001 | 0.000 | 27.058 | 27.092 | See | See |
| 32 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 5 | 1.000 | 0.000 | 0.000 | 5.152 | 5.342 | See | See |
| 34 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.018 | 0.001 | NaN | 0.001 | 0.000 | 1 | 1 | 0.891 | 0.001 | 0.000 | 34.567 | 36.195 | See | See |
| 35 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 1 | 1.000 | 0.000 | 0.000 | 5.285 | 5.542 | See | See |
KMeans_tall¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | adjusted_rand_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 0.570 | 0.174 | 30 | 0.028 | 0.0 | random | NaN | 0.405 | 0.031 | 1.406 | 1.411 | See | See |
| 3 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 0.608 | 0.098 | 30 | 0.026 | 0.0 | k-means++ | NaN | 0.436 | 0.037 | 1.394 | 1.399 | See | See |
| 6 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 5.659 | 0.218 | 30 | 0.141 | 0.0 | random | NaN | 2.686 | 0.035 | 2.107 | 2.107 | See | See |
| 9 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 5.818 | 0.062 | 30 | 0.138 | 0.0 | k-means++ | NaN | 2.842 | 0.021 | 2.047 | 2.047 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | adjusted_rand_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | predict | 1000000 | 1000 | 2 | 0.002 | 0.001 | 30 | 0.009 | 0.000 | random | 0.001 | 0.0 | 0.0 | 12.101 | 13.487 | See | See |
| 2 | KMeans_tall | predict | 1000000 | 1 | 2 | 0.003 | 0.002 | 30 | 0.000 | 0.003 | random | 1.000 | 0.0 | 0.0 | 16.535 | 26.665 | See | See |
| 4 | KMeans_tall | predict | 1000000 | 1000 | 2 | 0.002 | 0.000 | 30 | 0.010 | 0.000 | k-means++ | 0.001 | 0.0 | 0.0 | 12.612 | 14.099 | See | See |
| 5 | KMeans_tall | predict | 1000000 | 1 | 2 | 0.001 | 0.000 | 30 | 0.000 | 0.001 | k-means++ | 1.000 | 0.0 | 0.0 | 12.728 | 13.209 | See | See |
| 7 | KMeans_tall | predict | 1000000 | 1000 | 100 | 0.002 | 0.000 | 30 | 0.422 | 0.000 | random | 0.002 | 0.0 | 0.0 | 6.819 | 7.156 | See | See |
| 8 | KMeans_tall | predict | 1000000 | 1 | 100 | 0.002 | 0.000 | 30 | 0.000 | 0.002 | random | 1.000 | 0.0 | 0.0 | 14.578 | 15.220 | See | See |
| 10 | KMeans_tall | predict | 1000000 | 1000 | 100 | 0.002 | 0.000 | 30 | 0.394 | 0.000 | k-means++ | 0.002 | 0.0 | 0.0 | 7.675 | 7.969 | See | See |
| 11 | KMeans_tall | predict | 1000000 | 1 | 100 | 0.001 | 0.000 | 30 | 0.001 | 0.001 | k-means++ | 1.000 | 0.0 | 0.0 | 14.257 | 14.541 | See | See |
KMeans_short¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | adjusted_rand_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | fit | 10000 | 10000 | 2 | 0.082 | 0.003 | 20 | 0.002 | 0.0 | random | NaN | 0.028 | 0.001 | 2.921 | 2.924 | See | See |
| 3 | KMeans_short | fit | 10000 | 10000 | 2 | 0.229 | 0.007 | 20 | 0.001 | 0.0 | k-means++ | NaN | 0.097 | 0.018 | 2.356 | 2.395 | See | See |
| 6 | KMeans_short | fit | 10000 | 10000 | 100 | 0.209 | 0.005 | 20 | 0.038 | 0.0 | random | NaN | 0.113 | 0.004 | 1.850 | 1.851 | See | See |
| 9 | KMeans_short | fit | 10000 | 10000 | 100 | 0.629 | 0.012 | 20 | 0.013 | 0.0 | k-means++ | NaN | 0.316 | 0.007 | 1.991 | 1.991 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | adjusted_rand_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | predict | 10000 | 1000 | 2 | 0.002 | 0.0 | 20 | 0.008 | 0.000 | random | 0.000 | 0.000 | 0.0 | 4.010 | 4.023 | See | See |
| 2 | KMeans_short | predict | 10000 | 1 | 2 | 0.001 | 0.0 | 20 | 0.000 | 0.001 | random | 1.000 | 0.000 | 0.0 | 15.046 | 15.634 | See | See |
| 4 | KMeans_short | predict | 10000 | 1000 | 2 | 0.002 | 0.0 | 20 | 0.008 | 0.000 | k-means++ | 0.001 | 0.000 | 0.0 | 4.143 | 4.156 | See | See |
| 5 | KMeans_short | predict | 10000 | 1 | 2 | 0.002 | 0.0 | 20 | 0.000 | 0.002 | k-means++ | 1.000 | 0.000 | 0.0 | 12.900 | 13.229 | See | See |
| 7 | KMeans_short | predict | 10000 | 1000 | 100 | 0.003 | 0.0 | 20 | 0.303 | 0.000 | random | 0.279 | 0.001 | 0.0 | 2.680 | 2.696 | See | See |
| 8 | KMeans_short | predict | 10000 | 1 | 100 | 0.002 | 0.0 | 20 | 0.001 | 0.002 | random | 1.000 | 0.000 | 0.0 | 9.524 | 9.746 | See | See |
| 10 | KMeans_short | predict | 10000 | 1000 | 100 | 0.003 | 0.0 | 20 | 0.293 | 0.000 | k-means++ | 0.317 | 0.001 | 0.0 | 2.785 | 2.812 | See | See |
| 11 | KMeans_short | predict | 10000 | 1 | 100 | 0.002 | 0.0 | 20 | 0.001 | 0.002 | k-means++ | 1.000 | 0.000 | 0.0 | 10.485 | 10.568 | See | See |
LogisticRegression¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | fit | 1000000 | 1000000 | 100 | 10.768 | 0.361 | [20] | 0.074 | 0.000 | NaN | NaN | NaN | NaN | NaN | 1.869 | 0.051 | 5.763 | 5.765 | See | See |
| 3 | LogisticRegression | fit | 1000 | 1000 | 10000 | 0.963 | 0.762 | [26] | 0.083 | 0.001 | NaN | NaN | NaN | NaN | NaN | 0.767 | 0.018 | 1.256 | 1.256 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | predict | 1000000 | 1000 | 100 | 0.000 | 0.001 | [20] | 1.676 | 0.0 | NaN | NaN | NaN | NaN | 0.56 | 0.001 | 0.001 | 0.600 | 1.237 | See | See |
| 2 | LogisticRegression | predict | 1000000 | 1 | 100 | 0.000 | 0.000 | [20] | 0.014 | 0.0 | NaN | NaN | NaN | NaN | 1.00 | 0.000 | 0.000 | 0.365 | 0.370 | See | See |
| 4 | LogisticRegression | predict | 1000 | 100 | 10000 | 0.002 | 0.000 | [26] | 4.860 | 0.0 | NaN | NaN | NaN | NaN | 0.35 | 0.003 | 0.000 | 0.516 | 0.518 | See | See |
| 5 | LogisticRegression | predict | 1000 | 1 | 10000 | 0.000 | 0.000 | [26] | 1.006 | 0.0 | NaN | NaN | NaN | NaN | 0.00 | 0.001 | 0.000 | 0.116 | 0.116 | See | See |
Ridge¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | fit | 1000 | 1000 | 10000 | 0.184 | 0.003 | NaN | 0.435 | 0.0 | NaN | NaN | NaN | 0.185 | 0.003 | 0.994 | 0.995 | See | See |
| 3 | Ridge | fit | 1000000 | 1000000 | 100 | 1.152 | 0.091 | NaN | 0.694 | 0.0 | NaN | NaN | NaN | 0.305 | 0.240 | 3.780 | 4.809 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | predict | 1000 | 1000 | 10000 | 0.01 | 0.0 | NaN | 8.037 | 0.0 | NaN | NaN | 0.083 | 0.016 | 0.0 | 0.605 | 0.605 | See | See |
| 2 | Ridge | predict | 1000 | 1 | 10000 | 0.00 | 0.0 | NaN | 1.189 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | 0.704 | 0.758 | See | See |
| 4 | Ridge | predict | 1000000 | 1000 | 100 | 0.00 | 0.0 | NaN | 6.091 | 0.0 | NaN | NaN | 1.000 | 0.000 | 0.0 | 0.422 | 0.622 | See | See |
| 5 | Ridge | predict | 1000000 | 1 | 100 | 0.00 | 0.0 | NaN | 0.016 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | 0.581 | 0.610 | See | See |